Mass Layoff Data for Journalists & Researchers
Break layoff stories before press releases. Conduct research with 6 cross-referenced federal datasets — WARN notices, H-1B/LCA visas, SEC filings, bankruptcies, DOL claims, and JOLTS. Updated daily from all 50 state agencies and federal sources.
How Journalists Use Layoff Data
1. Break Stories First
WARN Act notices are filed 60-90 days before layoffs execute — often weeks before companies issue press releases. Monitor filings daily to break the story first, with hard data on employee counts and locations.
2. Find Data-Driven Angles
Cross-reference layoff notices with SEC 8-K restructuring filings, Chapter 11 bankruptcy petitions, and H-1B visa data. When a company files WARN, SEC 8-K, and bankruptcy within 90 days, that's a corporate distress cascade story.
3. Track Regional Impact
Map layoffs by metro area to identify community impact, workforce disruption, and regional economic shifts. Our state-level data reveals which areas face concentrated job losses across multiple employers.
Latest Major Layoffs — Story Leads
Large layoffs in the past 30 days (100+ employees). Updated daily from all 50 state agencies.
Use Cases by Beat
Business & Economy Reporters
Track layoff trends by industry and company size. Identify earnings risk before quarterly reports. Use SEC cross-reference to connect workforce cuts to restructuring charges and material impairments disclosed in 8-K filings.
Local News
Filter layoffs by your state or metro area. Every WARN notice has a specific location — find the plant closures, office shutdowns, and store closings that impact your community before they're announced publicly.
Investigative Journalists
Cross-reference 6 federal datasets to uncover corporate distress patterns. Companies filing WARN notices while simultaneously petitioning for H-1B visas, or companies with SEC restructuring disclosures followed by bankruptcy — the data tells the story.
Data Journalism Teams
Access structured data via REST API in JSON format. Build automated monitoring dashboards, generate trend visualizations, or integrate with your newsroom's data pipeline. Export to CSV for analysis in R, Python, or spreadsheets.
6 Cross-Referenced Datasets
Each dataset is linked via company name, state, industry, and date. Cross-referencing enables analysis that no single-source dataset can provide.
WARN Notices
Mass layoff advance filings with company name, location, employee count, notice date, effective date, and industry.
H-1B Visa Petitions
USCIS petition data with employer, job title, wage level, worksite, and approval status.
LCA Petitions
DOL labor condition applications with SOC codes, prevailing wages, employer address, and worksite county.
SEC 8-K Filings
Item 2.05 exit/restructuring costs, Item 2.06 material impairments. Parsed for dollar amounts and employee counts.
Bankruptcy Filings
Bankruptcy data from PACER (federal courts) and SEC EDGAR, filtered for Chapter 11 cases, cross-referenced with WARN companies.
Claims & JOLTS
DOL initial/continued claims by state (1984–present). JOLTS openings, hires, quits, and layoffs by industry.
Research Applications
Labor Economics
Study wage effects of mass layoffs using LCA prevailing wage data. Analyze reemployment patterns by cross-referencing WARN layoff timing with DOL claims duration. Track visa hiring vs. domestic displacement at the firm level.
Industrial Organization
Map industry cascade effects as layoffs spread from one sector to others within a region. Measure market concentration impacts by tracking how large-employer layoffs trigger supplier and competitor responses.
Regional Economics
Model metro-level contagion as layoffs in anchor employers spread to unrelated local businesses. Cross-reference WARN notices with DOL claims to measure regional labor market recovery timelines.
Policy Analysis
Compare WARN Act effectiveness across all 50 states with different enforcement regimes and filing thresholds. Analyze compliance rates, notice lead times, and worker outcomes across state-level policy variations.
Live Data Coverage
Real-time statistics from the database. Updated daily as new filings are scraped from state agencies and federal sources.
Start Exploring Layoff Data
Search all 50 states for free. Set up alerts for your beat, download bulk data, or get API access for your workflow.
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